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Topic: python

1,527 skills in this topic.

review-pr Monitor and respond to automated PR reviews (Codex bot). Use when pushing a PR, checking review status, or responding to bot feedback. Handles the full cycle of push -> wait for review -> evaluate comments -> fix -> re-push.
PrefectHQ/fastmcp 24,481
reviewing-code Review code for quality, maintainability, and correctness. Use when reviewing pull requests, evaluating code changes, or providing feedback on implementations. Focuses on API design, patterns, and actionable feedback.
PrefectHQ/fastmcp 24,481
fastmcp-client-cli Query and invoke tools on MCP servers using fastmcp list and fastmcp call. Use when you need to discover what tools a server offers, call tools, or integrate MCP servers into workflows.
PrefectHQ/fastmcp 24,481
final-release-review Perform a release-readiness review by locating the previous release tag from remote tags and auditing the diff (e.g., v1.2.3...<commit>) for breaking changes, regressions, improvement opportunities, and risks before releasing openai-agents-python.
openai/openai-agents-python 20,562
test-coverage-improver Improve test coverage in the OpenAI Agents Python repository: run `make coverage`, inspect coverage artifacts, identify low-coverage files, propose high-impact tests, and confirm with the user before writing tests.
openai/openai-agents-python 20,562
docs-sync Analyze main branch implementation and configuration to find missing, incorrect, or outdated documentation in docs/. Use when asked to audit doc coverage, sync docs with code, or propose doc updates/structure changes. Only update English docs under docs/** and never touch translated docs under docs/ja, docs/ko, or docs/zh. Provide a report and ask for approval before editing docs.
openai/openai-agents-python 20,562
examples-auto-run Run python examples in auto mode with logging, rerun helpers, and background control.
openai/openai-agents-python 20,562
runtime-behavior-probe Plan and execute runtime-behavior investigations with temporary probe scripts, validation matrices, state controls, and findings-first reports. Use only when the user explicitly invokes this skill to verify actual runtime behavior beyond normal code-level checks, especially to uncover edge cases, undocumented behavior, or common failure modes in local or live integrations. A baseline smoke check is fine as an entry point, but do not stop at happy-path confirmation.
openai/openai-agents-python 20,562
code-change-verification Run the mandatory verification stack when changes affect runtime code, tests, or build/test behavior in the OpenAI Agents Python repository.
openai/openai-agents-python 20,562
pr-draft-summary Create the required PR-ready summary block, branch suggestion, title, and draft description for openai-agents-python. Use in the final handoff after moderate-or-larger changes to runtime code, tests, examples, build/test configuration, or docs with behavior impact; skip only for trivial or conversation-only tasks, repo-meta/doc-only tasks without behavior impact, or when the user explicitly says not to include the PR draft block.
openai/openai-agents-python 20,562
openai-knowledge Use when working with the OpenAI API (Responses API) or OpenAI platform features (tools, streaming, Realtime API, auth, models, rate limits, MCP) and you need authoritative, up-to-date documentation (schemas, examples, limits, edge cases). Prefer the OpenAI Developer Documentation MCP server tools when available; otherwise guide the user to enable `openaiDeveloperDocs`.
openai/openai-agents-python 20,562
implementation-strategy Decide how to implement runtime and API changes in openai-agents-python before editing code. Use when a task changes exported APIs, runtime behavior, serialized state, tests, or docs and you need to choose the compatibility boundary, whether shims or migrations are warranted, and when unreleased interfaces can be rewritten directly.
openai/openai-agents-python 20,562
csv-workbench Analyze CSV files in /mnt/data and return concise numeric summaries.
openai/openai-agents-python 20,562
design-principles Swiss International Style for Resume Matcher. Invoke ONLY when designing new UI components or modifying existing component styles. Provides colors, typography, borders, shadows, and component patterns.
srbhr/Resume-Matcher 26,484
navigator Codebase orientation. Use FIRST when exploring code, finding files, or understanding project structure. For advanced search, see the codebase-navigator skill.
srbhr/Resume-Matcher 26,484
tailwind-patterns Production-ready Tailwind CSS patterns for common website components: responsive layouts, cards, navigation, forms, buttons, and typography. Includes spacing scale, breakpoints, mobile-first patterns, and dark mode support. Use when building UI components, creating landing pages, styling forms, implementing navigation, or fixing responsive layouts.
srbhr/Resume-Matcher 26,484
systematic-debugging Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes
srbhr/Resume-Matcher 26,484
codebase-navigator Navigate, search, and understand the Resume Matcher codebase using ripgrep, ack, or grep. Find functions, classes, components, API endpoints, trace data flows, and understand architecture. Use FIRST when exploring code, finding files, or understanding project structure.
srbhr/Resume-Matcher 26,484
frontend-dev Frontend development skill for Resume Matcher. Handles Next.js pages, React components, Tailwind CSS with Swiss International Style, API integration, hooks, and i18n. Use when creating or modifying frontend code.
srbhr/Resume-Matcher 26,484
react-patterns React and Next.js performance optimization guidelines from Vercel Engineering, tuned for local/offline or docker-deployed apps.
srbhr/Resume-Matcher 26,484
ui-review Review UI changes against Swiss International Style design system. Checks colors, typography, borders, shadows, spacing, and anti-patterns. Use before committing any frontend UI changes.
srbhr/Resume-Matcher 26,484
fastapi Build Python APIs with FastAPI, Pydantic v2, and async patterns. Covers project structure, JWT auth, validation, database integration, and 7 documented error preventions. Use when creating Python APIs, implementing auth, or troubleshooting 422 validation, CORS, async blocking, or schema errors.
srbhr/Resume-Matcher 26,484
brainstorming You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
srbhr/Resume-Matcher 26,484
nextjs15-performance Next.js 15 critical performance fixes. Use when writing React components, data fetching, Server Actions, or optimizing bundle size.
srbhr/Resume-Matcher 26,484